Evidence map›Paper›PMID 41480002›Full record

Trial reportWorld journal of cardiology2025

Logistic regression-based risk prediction of aortic adverse remodeling following thoracic endovascular aortic repair in patients with aortic dissection.

Lian-Feng Wang, Hong-Jiang Zhu, Cong Wang, Feng Yan, Chang-Zhen Qu

Abstract readClinical Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in World journal of cardiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Lian-Feng WangDepartment of Oncology II, Zhangjiajie People's Hospital, Zhangjiajie 415000, Hunan Province, China.
Hong-Jiang ZhuDepartment of Vascular Interventional Surgery, Zhangjiajie People's Hospital, Zhangjiajie 415000, Hunan Province, China. 13028176178@163.com.
Cong WangDepartment of Vascular Interventional Surgery, Zhangjiajie People's Hospital, Zhangjiajie 415000, Hunan Province, China.
Feng YanDepartment of Vascular Interventional Surgery, Zhangjiajie People's Hospital, Zhangjiajie 415000, Hunan Province, China.
Chang-Zhen QuDepartment of Vascular Interventional Surgery, Zhangjiajie People's Hospital, Zhangjiajie 415000, Hunan Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAortic adverse remodeling remains a critical complication following thoracic endovascular aortic repair (TEVAR) for Stanford type B aortic dissection (TBAD), significantly impacting long-term survival. Accurate risk prediction is essential for optimized clinical management.

aimTo develop and validate a logistic regression-based risk prediction model for aortic adverse remodeling following TEVAR in patients with TBAD.

methodsThis retrospective observational cohort study analyzed 140 TBAD patients undergoing TEVAR at a tertiary center (2019-2024). Based on European guidelines, patients were categorized into adverse remodeling (aortic growth rate > 2.9 mm/year,

resultsMultivariable analysis identified several strong independent predictors of negative aortic remodeling. Larger false lumen diameter at the primary entry tear [odds ratio (OR): 1.561, 95%CI: 1.197-2.035;

conclusionThis validated risk prediction model identifies aortic adverse remodeling with high accuracy using routinely available clinical parameters. False lumen involvement thoracoabdominal aorta is the strongest predictor (11.751-fold increased risk). The tool enables preoperative risk stratification to guide tailored TEVAR strategies and improve long-term outcomes.

Indexed as

Adverse remodelingAortic dissectionEndovascular repairFalse lumenLogistic regressionRisk prediction modelThoracic endovascular aortic repairThoracoabdominal involvement

Identifiers

PMID41480002
PMCPMC12754071

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.